Title:
Handbook of applied econometrics and statistical inference
Series:
Statistics : 165
Publication Information:
New York : Marcel Dekker, 2002
ISBN:
9780824706524
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000004821645 | HB139 H35 2002 | Open Access Book | Book | Searching... |
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Summary
Summary
Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing, time series analysis, Bayesian inference, and distribution theory for applications in statistics, economics, medicine, biology, engineering, sociology, psychology, and information technology. It supplies a geometric proof of an extended Gauss-Markov theorem, approaches for the design and implementation of sample surveys, advances in the theory of Neyman's smooth test, and methods for pre-test and biased estimation. It includes discussions ofsample size requirements for estimation in SUR models, innovative developments in nonparametric models, and more.
Author Notes
Aman Ullah
Table of Contents
Preface | p. iii |
Contributors | p. ix |
Selected Publications of V.K. Srivastava | p. xix |
Part 1 Statistical Inference and Sample Design | |
1. Bayesian Inference Using Conditionally Specified Priors | p. 1 |
2. Approximate Confidence Regions for Minimax-Linear Estimators | p. 27 |
3. On Efficiently Estimable Parametric Functionals in the General Linear Model with Nuisance Parameters | p. 45 |
4. Estimation under LINEX Loss Function | p. 53 |
5. Design of Sample Surveys across Time | p. 77 |
Part 2 Nonparametric Estimation and Testing | |
6. Kernel Estimation in a Continuous Randomized Response Model | p. 97 |
7. Index-Free, Density-Based Multinomial Choice | p. 115 |
8. Censored Additive Regression Models | p. 143 |
9. Improved Combined Parametric and Nonparametric Regressions: Estimation and Hypothesis Testing | p. 159 |
Part 3 Hypothesis Testing | |
10. Neyman's Smooth Test and Its Applications in Econometrics | p. 177 |
11. Computing the Distribution of a Quadratic Form in Normal Variables | p. 231 |
12. Improvements to the Wald Test | p. 251 |
13. On the Sensitivity of the t-Statistic | p. 277 |
Part 4 Pretest and Biased Estimation | |
14. Preliminary-Test and Bayes Estimation of a Location Parameter under "Reflected Normal" Loss | p. 287 |
15. MSE Performance of the Double k-Class Estimator of Each Individual Regression Coefficient under Multivariate t-Errors | p. 305 |
16. Effects of a Trended Regressor on the Efficiency Properties of the Least-Squares and Stein-Rule Estimation of Regression Coefficients | p. 327 |
17. Endogeneity and Biased Estimation under Squared Error Loss | p. 347 |
Part 5 Time Series Analysis | |
18. Testing for Two-Step Granger Noncausality in Trivariate VAR Models | p. 371 |
19. Measurement of the Quality of Autoregressive Approximation, with Econometric Applications | p. 401 |
20. Bayesian Inference of a Dynamic Linear Model with Edgeworth Series Disturbances | p. 423 |
21. Determining an Optimal Window Size for Modeling Volatility | p. 443 |
22. SUR Models with Integrated Regressors | p. 469 |
Part 6 Estimation and Inference in Econometric Models | |
23. Estimation Systems of Stochastic Coefficients Regressions When Some of the Observations Are Missing | p. 491 |
24. Efficiency Considerations in the Negative Exponential Failure Time Model | p. 513 |
25. On Specifying Double-Hurdle Models | p. 535 |
26. Econometric Applications of Generalized Estimating Equations for Panel Data and Extensions to Inference | p. 553 |
27. Sample Size Requirements for Estimation in SUR Models | p. 575 |
Part 7 Applied Econometrics | |
28. Semiparametric Panel Data Estimation: An Application to Immigrants' Homelink Effect on U.S. Producer Trade Flows | p. 591 |
29. Weighting Socioeconomic Indicators of Human Development: A Latent Variable Approach | p. 609 |
30. A Survey of Recent Work on Identification, Estimation, and Testing of Structural Auction Models | p. 643 |
31. Asymmetry of Business Cycles: The Markov-Switching Approach | p. 687 |
Index | p. 711 |